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. 2017 Sep 15;19:202. doi: 10.1186/s13075-017-1405-y

Table 3.

Association between baseline characteristics and development of inflammatory arthritis using univariate logistic regression analysis and multivariate logistic regression analysis after multiple imputation (n = 174)

Univariate model Multivariate model including US synovitis Multivariate model including presence of PD
OR (95% CI) p Value OR (95% CI) p Value OR (95% CI) p Value
Demographics
 Age, years 1.06 (1.03–1.09) < 0.001 1.06 (1.03–1.10) < 0.001 1.07 (1.04–1.10) < 0.001
 Sex 0.84 (0.42–1.70) 0.627
 BMI 0.98 (0.92–1.04) 0.438
Clinical variables
 Tender joints, range 0–44 1.01 (0.96–1.07) 0.676
 DAS28 1.21 (0.92–1.58) 0.175
 Morning stiffness > 30 minutes 2.39 (1.20–4.73) 0.013 2.80 (1.33–5.90) 0.007 3.34 (1.60–6.96) 0.001
 Rheumatoid factor-positive 1.21 (0.65–2.23) 0.545
 ACPA-positive 2.08 (1.07–4.07) 0.032 2.35 (1.13–4.87) 0.021
 ESR 1.00 (0.98–1.02) 0.850
USa
 US-positive 3.03 (1.69–5.41) < 0.001 2.65 (1.44–4.88) 0.007
 PD-positive 3.12 (1.61–6.03) 0.001 3.44 (1.71–6.95) 0.001

Abbreviations: ACPA Anti-citrullinated protein antibody, BMI Body mass index, DAS28 Disease Activity Score in 28 joints, ESR Erythrocyte sedimentation rate, IA Inflammatory arthritis (defined as clinical soft tissue swelling), PD Power Doppler, US Ultrasound

aUS synovitis definition: greyscale > 1 and/or PD > 0